Comprehensive side-by-side LLM comparison
o4-mini leads with 42.2% higher average benchmark score. o4-mini offers 234.5K more tokens in context window than QwQ-32B-Preview. QwQ-32B-Preview is $5.15 cheaper per million tokens. o4-mini supports multimodal inputs. QwQ-32B-Preview is available on 4 providers. Overall, o4-mini is the stronger choice for coding tasks.
OpenAI
o4-mini is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 66.5% across 14 benchmarks. It excels particularly in AIME 2024 (93.4%), AIME 2025 (92.7%), MathVista (84.3%). It supports a 300K token context window for handling large documents. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents OpenAI's latest advancement in AI technology.
Alibaba Cloud / Qwen Team
QwQ-32B-Preview is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 64.0% across 4 benchmarks. It excels particularly in MATH-500 (90.6%), GPQA (65.2%), AIME 2024 (50.0%). The model is available through 4 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
4 months newer
QwQ-32B-Preview
Alibaba Cloud / Qwen Team
2024-11-28
o4-mini
OpenAI
2025-04-16
Cost per million tokens (USD)
o4-mini
QwQ-32B-Preview
Context window and performance specifications
Average performance across 16 common benchmarks
o4-mini
QwQ-32B-Preview
o4-mini
2024-05-31
QwQ-32B-Preview
2024-11-28
Available providers and their performance metrics
o4-mini
OpenAI
QwQ-32B-Preview
o4-mini
QwQ-32B-Preview
o4-mini
QwQ-32B-Preview
DeepInfra
Fireworks
Hyperbolic
Together